Course profile
Financial programming and databases
Course description not available yet.
AI-generated
Course summary
The course is generally seen as challenging, with a heavy workload and confusing lectures that require extensive self-study. It's practical for finance and computer science enthusiasts but may be overwhelming for beginners.
Grading is not generous; the final exam heavily relies on previous assignments and lecture content, making it difficult to achieve an A without consistent effort.
The workload is moderate to heavy, with four Python JupyterLab assignments and a final exam that requires thorough preparation. Students spend about 10-12 hours per week on the course.
Assessment includes four Python JupyterLab assignments and a final exam based on lecture content and previous assignments.
Lectures are poorly organized, confusing, and not engaging due to the lecturer's free-form teaching style and poor English. Tutors struggle with communication in Cantonese during tutorials.
Attend lectures regularly and use GPT for checking your work; self-study is crucial as the course materials are outdated and poorly planned.
AI-generated AI-generated summary based on student reviews, using Qwen 2.5.
Student reviews
0 reviews
No reviews yet. Be the first to share your experience!
Sign in with your HKU email to leave a review.